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authorGravatar Sukriti Ramesh <sukritiramesh@google.com>2017-03-31 14:32:21 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-03-31 15:51:24 -0700
commit945a84bb041bab77318e7c9236305190dea759b5 (patch)
treeafa044799016c5dd163312a3238afa98332ed33b
parentfe416cc557caf77ee66728f2ddf08130b4d14f3c (diff)
Add link to SignatureDef documentation for TensorFlow Serving from SavedModel.
Change: 151876185
-rw-r--r--tensorflow/python/saved_model/README.md2
1 files changed, 2 insertions, 0 deletions
diff --git a/tensorflow/python/saved_model/README.md b/tensorflow/python/saved_model/README.md
index 9fd795adb5..8422fb6404 100644
--- a/tensorflow/python/saved_model/README.md
+++ b/tensorflow/python/saved_model/README.md
@@ -22,6 +22,8 @@ The following is a summary of the features in SavedModel:
and outputs. This is called a `Signature`.
* SavedModel uses [SignatureDefs](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/protobuf/meta_graph.proto)
to allow generic support for signatures that may need to be saved with the graphs.
+ * For commonly used SignatureDefs in the context of TensorFlow Serving,
+ please see documentation [here](https://github.com/tensorflow/serving/blob/master/tensorflow_serving/g3doc/signature_defs.md).
* Support for `Assets`.
* For cases where ops depend on external files for initialization, such as
vocabularies, SavedModel supports this via `assets`.